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Chengqian Lu

Showing results (1-10 of 20) with videos related to

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Wei Sheng Yan Jiu = Journal of Hygiene Research|October 11, 2003
[Factors of antioxidant and prooxidant activities of carotenoids]Yan Song, Chengqian Lu, Junshi Chen
Wei Sheng Yan Jiu = Journal of Hygiene Research|October 6, 2004
[Correlation comparison of uterotrophic assay and E-SCREEN assay for estrogenic activities]Zhaoping Liu, Chengqian Lu, Junshi Chen
IEEE Transactions on Neural Networks and Learning Systems|January 6, 2026
MotifGT-DTI: Pivotal Motif-Based Graph Transformer Model Improves Drug-Target Interaction PredictionWen Tian, Min Zeng, Jianxin Wang, et al.
Briefings in Bioinformatics|December 13, 2022
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure featuresLishen Zhang, Chengqian Lu, Min Zeng, et al.
Bioinformatics (Oxford, England)|December 17, 2020
Heterogeneous graph inference with matrix completion for computational drug repositioningMengyun Yang, Lan Huang, Yunpei Xu, et al.
Bioinformatics (Oxford, England)|December 28, 2020
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networksChengqian Lu, Min Zeng, Fang-Xiang Wu, et al.
Briefings in Bioinformatics|December 26, 2022
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural networkChengqian Lu, Lishen Zhang, Min Zeng, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 29, 2025
diPaRIS: Dynamic and Interpretable Protein-RNA Interactions Prediction With U-Shaped Network and Novel Structure EncodingLishen Zhang, Chengqian Lu, Xiaoqing Peng, et al.
Briefings in Bioinformatics|December 22, 2022
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformationMin Li, Baoying Zhao, Rui Yin, et al.
Briefings in Bioinformatics|September 9, 2021
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embeddingMin Zeng, Yifan Wu, Chengqian Lu, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Wei Sheng Yan Jiu = Journal of Hygiene Research|October 11, 2003
[Factors of antioxidant and prooxidant activities of carotenoids]Yan Song, Chengqian Lu, Junshi Chen
Wei Sheng Yan Jiu = Journal of Hygiene Research|October 6, 2004
[Correlation comparison of uterotrophic assay and E-SCREEN assay for estrogenic activities]Zhaoping Liu, Chengqian Lu, Junshi Chen
IEEE Transactions on Neural Networks and Learning Systems|January 6, 2026
MotifGT-DTI: Pivotal Motif-Based Graph Transformer Model Improves Drug-Target Interaction PredictionWen Tian, Min Zeng, Jianxin Wang, et al.
Briefings in Bioinformatics|December 13, 2022
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure featuresLishen Zhang, Chengqian Lu, Min Zeng, et al.
Bioinformatics (Oxford, England)|December 17, 2020
Heterogeneous graph inference with matrix completion for computational drug repositioningMengyun Yang, Lan Huang, Yunpei Xu, et al.
Bioinformatics (Oxford, England)|December 28, 2020
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networksChengqian Lu, Min Zeng, Fang-Xiang Wu, et al.
Briefings in Bioinformatics|December 26, 2022
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural networkChengqian Lu, Lishen Zhang, Min Zeng, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 29, 2025
diPaRIS: Dynamic and Interpretable Protein-RNA Interactions Prediction With U-Shaped Network and Novel Structure EncodingLishen Zhang, Chengqian Lu, Xiaoqing Peng, et al.
Briefings in Bioinformatics|December 22, 2022
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformationMin Li, Baoying Zhao, Rui Yin, et al.
Briefings in Bioinformatics|September 9, 2021
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embeddingMin Zeng, Yifan Wu, Chengqian Lu, et al.
Pageof 2